Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading ChannelsShow others and affiliations
2023 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 68, no 7, p. 4273-4280Article in journal (Refereed) Published
Abstract [en]
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We answer the following open problem: what is the fundamental requirement on the multi-sensor-multi-channel system to guarantee the existence of a sensor scheduling policy that can stabilize the remote estimation system? We propose a novel policy construction and analytical framework and derive the necessary-and-sufficient stability condition in terms of the LTI system parameters and the channel statistics.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. Vol. 68, no 7, p. 4273-4280
Keywords [en]
Channel estimation, Estimation, Job shop scheduling, Kalman filtering, linear systems, Markov fading channel, Markov processes, mean-square error, Robot sensing systems, stability, Wireless communication, Wireless sensor networks, Fading channels, Mean square error, Optimization, Scheduling, State estimation, Fadings channels, Job-Shop scheduling, Kalman-filtering, Markov fading, Means square errors, Remote state estimations, Robot sensing system, Stability condition, Wireless communications
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-327052DOI: 10.1109/TAC.2022.3201172ISI: 001021499000033Scopus ID: 2-s2.0-85137551859OAI: oai:DiVA.org:kth-327052DiVA, id: diva2:1758473
Note
QC 20250513
2023-05-232023-05-232025-05-13Bibliographically approved